I'm a Computer Vision and Machine Learning Engineer with strong expertise in developing and deploying intelligent image-processing and AI-driven systems.
I specialize in building high-performance solutions for object detection, image segmentation, and visual analytics using Python, PyTorch, and OpenCV.
My passion lies in applying deep learning to solve real-world challenges, delivering accurate, scalable, and impactful computer vision applications.
- Mansoura, Egypt
- saad.abdelghaffar.ai@gmail.com
- in/saadabdelghaffar
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brain-tumor-classification-pytorch
brain-tumor-classification-pytorch PublicState-of-the-art brain tumor classification using PyTorch with 99.7% accuracy. Features ResNet18 fine-tuning, FastAPI backend, Streamlit frontend, and Docker deployment. 🥇 Kaggle Gold Medal winner…
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car-plate-recognition
car-plate-recognition PublicAI-powered license plate detection system using YOLOv11 and PaddleOCR for real-time vehicle identification. Features Flask web interface, MySQL database integration, and high-accuracy plate recogni…
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cats-dogs-classifier-tensorflow
cats-dogs-classifier-tensorflow PublicHigh-accuracy cats vs dogs classifier achieving 98.7% with TensorFlow/VGG16. Complete ML pipeline with FastAPI REST API, Streamlit web app, Docker deployment. Gold Medal Kaggle notebook. Production…
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ranian-snack-detection-yolo11
ranian-snack-detection-yolo11 PublicAI-powered Iranian snack detection using YOLOv11 with real-time price, expiry date, and calorie analysis for smart retail automation
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tennis-analysis-system
tennis-analysis-system PublicAdvanced computer vision system for tennis match analysis using YOLO, deep learning, and real-time video analytics. Detects players, tracks the ball, maps court keypoints, and generates rich perfor…
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time-series-ice-cream-analysis
time-series-ice-cream-analysis PublicAdvanced time series analysis of monthly ice cream sales data using 5 forecasting models: ARIMA, SARIMA, XGBoost, LSTM, and GRU. Includes comprehensive preprocessing, feature engineering, and perfo…
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